function [z,mu,sigma] = zscore(x,flag,dim)
%ZSCORE Standardized z score for tall arrays
% Z = ZSCORE(X)
% [Z,MU,SIGMA] = ZSCORE(X)
% [...] = ZSCORE(X,1)
% [...] = ZSCORE(X,FLAG,DIM)
%
% See also ZSCORE, MEAN, STD.
% Copyright 2015 The MathWorks, Inc.
if nargin < 2
flag = 0;
end
if nargin < 3
% We can't determine dim for tall arrays as the size might not be
% known. If not supplied, use the dimensionless versions.
validateFlag(flag)
mu = mean(x);
sigma = std(x,flag);
else
% User supplied dim
validateFlag(flag)
mu = mean(x,dim);
sigma = std(x,flag,dim);
end
% Now standardize X to give Z, taking care when sigma is zero
sigma0 = sigma;
subs = struct('type','()','subs',{{sigma0==0}});
sigma0 = subsasgn(sigma0, subs, 1);
z = (x - mu) ./ sigma0;
function validateFlag(flag)
validateattributes(flag,{'numeric'}, {'integer','scalar','binary'}, 2);
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
主成分分析PCA降维,BP神经网络回归预测。PCA-BP回归预测模型。 多元回归预测 | Matlab主成分分析PCA降维,BP神经网络回归预测。PCA-BP回归预测模型 评价指标包括:MAE、RMSE和R2等,代码质量极高,方便学习和替换数据。要求2018版本及以上。 多元回归预测 | Matlab主成分分析PCA降维,BP神经网络回归预测。PCA-BP回归预测模型
资源推荐
资源详情
资源评论
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![thumb](https://img-home.csdnimg.cn/images/20210720083646.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083646.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083646.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![docx](https://img-home.csdnimg.cn/images/20210720083331.png)
收起资源包目录
![package](https://csdnimg.cn/release/downloadcmsfe/public/img/package.f3fc750b.png)
![file-type](https://csdnimg.cn/release/download/static_files/pc/images/minetype/UNKNOWN.png)
![file-type](https://csdnimg.cn/release/download/static_files/pc/images/minetype/UNKNOWN.png)
![file-type](https://csdnimg.cn/release/download/static_files/pc/images/minetype/XLSX.png)
![file-type](https://csdnimg.cn/release/download/static_files/pc/images/minetype/XLSX.png)
![folder](https://csdnimg.cn/release/downloadcmsfe/public/img/folder.005fa2e5.png)
![file-type](https://csdnimg.cn/release/download/static_files/pc/images/minetype/UNKNOWN.png)
![file-type](https://csdnimg.cn/release/download/static_files/pc/images/minetype/UNKNOWN.png)
共 6 条
- 1
资源评论
![avatar-default](https://csdnimg.cn/release/downloadcmsfe/public/img/lazyLogo2.1882d7f4.png)
- goukui57072024-03-04不是内容,购买链接
![avatar](https://profile-avatar.csdnimg.cn/29fb0510661e41e5b896558967268110_qq_43916303.jpg!1)
智能算法及其模型预测
- 粉丝: 2168
- 资源: 827
上传资源 快速赚钱
我的内容管理 展开
我的资源 快来上传第一个资源
我的收益
登录查看自己的收益我的积分 登录查看自己的积分
我的C币 登录后查看C币余额
我的收藏
我的下载
下载帮助
![voice](https://csdnimg.cn/release/downloadcmsfe/public/img/voice.245cc511.png)
![center-task](https://csdnimg.cn/release/downloadcmsfe/public/img/center-task.c2eda91a.png)
最新资源
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
![feedback](https://img-home.csdnimg.cn/images/20220527035711.png)
![feedback](https://img-home.csdnimg.cn/images/20220527035711.png)
![feedback-tip](https://img-home.csdnimg.cn/images/20220527035111.png)
安全验证
文档复制为VIP权益,开通VIP直接复制
![dialog-icon](https://csdnimg.cn/release/downloadcmsfe/public/img/green-success.6a4acb44.png)